Challenge
Students could collect data but struggled to extract useful patterns and communicate findings clearly.
Strategy
- Introduced step-by-step data narrative framework.
- Used AI prompts to test interpretations and assumptions.
- Added peer critique to improve presentation quality.
Execution
- Ran weekly mini-projects with real datasets.
- Tracked interpretation accuracy and narrative flow.
- Hosted final showcase presentations for families.
Outcomes
- Students improved analytical communication significantly.
- Teachers saw stronger confidence in project presentations.
- Program leaders gained a reusable data-literacy pathway.
Timeline
- 1
Week 1-2
Data basics and narrative foundation.
- 2
Week 3-7
Analysis and story design cycles.
- 3
Week 8-11
Visualization refinement.
- 4
Week 12-13
Showcase and review.
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